- Python Machine Learning Cookbook(Second Edition)
- Giuseppe Ciaburro Prateek Joshi
- 32字
- 2021-06-24 15:40:42
Technical requirements
To work on the recipes in this chapter, you need the following files (available on GitHub):
- simple_classifier.py
- logistic_regression.py
- naive_bayes.py
- data_multivar.txt
- splitting_dataset.py
- confusion_matrix.py
- performance_report.py
- car.py
- car.data.txt
- income.py
- adult.data.txt
- wine.quality.py
- wine.txt
- post.classification